• AWS Data Architect with strong experience in Designing and Implementing Data Lake, Data Warehouse and Data ingestion and processing pipeline using various AWS services. Expertise in building high-performing, scalable, enterprise-grade Data Lake/ Data Warehouse.

• Solution/technical architecture in the AWS on Big Data/ Analytics/ Data Lake / Datawarehouse - VPC/SG, EC2, S3, Autoscaling, CloudFormation, Lake Formation, DMS, Kinesis, Kafka, Nifi, CDC processing, Redshift, AWS EMR , Snowflake, RDS, Aurora, DynamoDB, CloudTrail, CloudWatch, Docker, Lambda, Spark, Glue, API GW, Kafka, Stream Sets, Attunity, Golden Gate, Map Reduce, Hadoop, Hive, HBase, Cassandra, PySpark, Flume, Hive, Impala.

• Design and Implement analytics solution that utilize the ETL/data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.

Desired Candidate Profile
Qualifications :BACHELOR OF COMPUTER SCIENCE, BACHELOR OF ENGINEERING, BACHELOR OF SCIENCE (B.Sc)